Google Prompts

Write a creative ad copy based on a video.

The AI is tasked to create advertising campaigns for its clients.

The prompt asks the model to write a summary based on customer reviews of an airline company called GoWhereYouLike.

The animal assistant chatbot answers questions about animals.

Summarize an audio file

Summarize a piece of audio recording.

Generate the transcription for a piece of audio recording.

Audio/video Q&A

The prompt asks the model to write a summary based on customer reviews of a beach in California.

Create a blog post

Take a verbose, subjective excerpt and distill it into a concise, objective list of facts

Extract relevant information from the user input that can be used in business development initiatives.

A chatbot suggests courses for a performing arts program.

Label news headlines with custom topics using examples.

Optimize and explain C++ code, focusing on time complexity.

Create a chatbot for customers with basic company information.

Company Financial Analysis

Generate SQL scripts based on a CSV file using Go

Start a real-time conversation using your microphone and webcam.

Analyze popular Italian pasta by sorting them, identifying key ingredients, and presenting in a requested format.

The prompt works to extract the main issues out from customer service complaints and suggest ways to resolve them.

Create a tailored data science learning plan with specific resources for a user with given background, interests, and goals.

Specify different training data and add monitoring.

Debug C++ code with explanations.

Provide a detailed description of Python timer code.

Get a description of the contents of a rock climbing video.

Evaluating Django form-handling code to identify bugs, inefficiencies, and security issues.

Compare the contents of 2 documents

Answer question(s) over a document.

Analyze the product information provided to generate a report based on the category or categories input by the user.

This model is helping teachers with generating topics, open-ended and closed-ended multiple choice questions.

The prompt creates an engaging and grade level appropriate lesson plan for teachers.

The prompt guides the model to create a European travel itinerary with requests from the user.

Walking through Javascript code block

Extract entities from an invoice document and return them in JSON.

Transcribe text from a handwritten note.

Extract the chapters in a video as structured JSON

Automatically fill a form field in a target form from a source document.

Ask deductive questions about a (long) financial document.

Ask extractive questions about a (long) financial document.

French text sample

Generate Java code from natural-language comments

Create a conventional commit message for Golang changes.

Create an interface and class implementation in Java.

Generate unit tests for legacy Java code

Create unit tests with edge cases for binary search trees

Provide an attractive caption and hashtags of your video for social media.

This is a prompt for making grant application abstracts from user provided data.

Show the model an image of a fruit and find the price from another image.

Evaluate a candidate's performance in an interview, and write detailed interview feedback.

This model helps prepare interviewers for various different interviews.

Modifying and explaining a JavaScript marble simulation.

Understand preprocessing, balancing, stratification, and dataset suitability for machine learning.

Ask extractive questions about a (long) legal document.

Solve a math question

A media relations bot provides talking points extracted from a year-end report.

Generate a scene for a book a writer is writing in order to help the writer get through writer's block.

Optimize the generation of unique identifiers.

Extract main viewpoints and examples into a table, given the provided template and user input.

Generate tailored educational and professional development suggestions in JSON format based on provided personal profile data.

Help pet owners with their pets

Train and evaluate a Random Forest model using sales data.

Convert procedural code to an object-oriented design

Decide on the best advertising method for the user-input product/company

Extract a specific retail product with the reference image in the video with timestamps.

Generate codes for algorithm using context clues.

Describe how Python code retrieves and visualizes data.

Answer knowledge-extensive questions about an image

Refactor Python code for better modularity and add functionality.

Implement regex-based sentence splitting for function completion.

Generate content for a section of a college sports management textbook.

The model acts as a chatbot that helps improve scripts for television and film.

The prompt instructs the model to outline a movie plot and generate character ideas.

Assign a positive or negative sentiment to text.

Use only the provided sources to answer questions without citations.

A speech must be written adhering to the information input by the user.

Explain the components of two SQL queries, compare outputs, and assess efficiency.

Summarize reviews to understand pros and cons of businesses and provide relevant advice.

Summarize video, extract key information, and organize them in structured output.

The purpose of this prompt is to summarize texts for the user.

Questions & answers about learning swimming.

The prompt is meant to create ideas for a writer to formulate a marketable synopsis of their submitted work.

Identify and explain the decorators in code.

Create a title for an article using examples.

Convert C++ code to Java while preserving functionality

Translate an audio file

The user wants the model to help a new traveler with travel tips for traveling.

Translate JavaScript to TypeScript.

This prompt uses website help center text to help users find answers to questions.

The model's goal is helping a client plan a family vacation.

Take information about a touring band and find the best venues for the group from a database of venues.

Write social media style video ad scripts

This is a multi-use prompt for generating terms and definitions and then placing them into categories.

Answer questions about the key moments in the video.

Get the activity that's being performed in an exercise video by asking a question.

Generate quizzes about vocabulary words.

Summarization

Help turn a document into an engaging presentation.

Help improve the quality of a presentation.

Write/Generate: Write creative advertising copy based on the video.

Classification: Segment recordings by speaker labels.

Write/Generate: This prompt asks the model to write a summary based on customer reviews for an airline called GoWhereYouLike.

Writing/Generation: The AI is tasked with creating campaigns for its clients.

Extract: Analyze popular pastas by ranking them, identifying key ingredients, and presenting them in the requested format.

Summary: This tip uses your website's Help Center text to help users find answers to their questions.

Summary: Summarize audio file

Answer questions: Ask questions to understand what's going on in the sports video.

Summarize: Summarize the content of a recording.

Writing/Generation: Chatbot suggests courses for performing arts program.

Extract: Generate a transcript from the recording.

Answer questions: Audio/Video Q&A

Summary: Generating hashtags for video ads

Write/Generate: Create a blog post

Categorize: Add custom topic labels to your news feed using examples.

Writing/Generation: The prompt asks the model to write a summary based on customer reviews of beaches in California.

Writing/Generation: Extracting concise and objective lists of facts from lengthy subjective excerpts

Write/Generate: The Animal Assistant chatbot answers questions about animals.

Write/Generate: Extract relevant information from user input that can be used in business development planning.

Write/Generate: Get information about a touring band and find the best venue for the band to perform from a database of venues.

Code: Optimize and interpret C++ code with a focus on time complexity.

Code: Optimize generation of unique identifiers.

Code: Train and evaluate a random forest model using sales data.

Answering questions: Company financial analysis

Answer questions: Create a chatbot to provide customers with basic information about your company.

Write/Generate: Get the content description of the rock climbing video.

Code: Generate SQL script based on CSV file using Go

Summary: Compare the contents of 2 documents

Answer the question: This prompt is designed to extract the main issues from a customer service complaint and suggest ways to resolve them.

Writing/Generation: Generate scenes for books writers are writing to help writers overcome writer's block.

Code: Specify different training data and add monitoring.

Code: Debug C++ code with explanation.

Code: Provides a detailed description of the Python timer code.

Code: Evaluate Django's form-handling code to find bugs, inefficiencies, and security issues.

Code: Generate code for your algorithm using contextual hints.

Code: Traversing JavaScript code blocks

Extract: Extract entities from the bill document and return them in JSON format.

Answer questions: Answer questions based on the document.

Write/Generate: Analyzes the provided product information and generates a report based on the categories entered by the user.

Answer questions: Answer questions related to important moments in the video.

Answer questions: Ask extraction questions about (long) legal documents.

Conversion: French Text Example

Write/Generate: This model helps teachers generate topic, open-ended, and closed-ended multiple-choice questions.

Write/Generate: Determine the best advertising method for the product/company entered by the user

Write/Generate: The speech must be written based on the information entered by the user.

Writing/Generation: Prompts will provide teachers with the opportunity to create a lesson plan that is fun and appropriate for the grade level of their students.

Write/Generate: The prompt guides the model to create a European travel itinerary based on the user's request.

Extract: Transcribe the text in your handwritten notes.

Extract: Extract chapters from a video in structured JSON format

Write/Generate: Automatically fill in form fields in the target form based on the source document content.

Answer questions: Ask extractive questions about (long) financial documents.

Answer questions: Ask inferential questions about (long) financial documents.

Code: Verify the behavior of a C++ class using various assertions

Code: Generate Java code from natural language annotations

Code: Create regular commit messages for Golang changes.

Code: Create the interface and class implementation in Java.

Code: Creating unit tests using edge cases of a binary search tree

Code: Generate unit tests for legacy Java code

Answer the question: Show the model a picture of fruit and find the price from another picture.

Code: Modify and interpret the JavaScript marble simulation.

Write/Generate: This prompt generates an article that uses celebrities and pets to promote a brand.

Answering questions: Media relations bots provide highlights extracted from year-end reports.

Answer questions: This model helps interviewers prepare for a variety of different interviews.

Extract: Extract key ideas and examples into a table based on the provided template and user input.

Code: Describes how the Python code retrieves and visualizes the data.

Write/Generate: Help pet owners take care of their pets

Code: Convert procedural code to object-oriented design

Writing/Generation: The goal of this model is to help clients plan a family vacation.

Answer questions: Answer questions by analyzing a simple line graph.

Answer questions: Answer questions related to the image and involve a lot of knowledge

Code: Refactor the Python code to achieve better modularity and add functionality.

Code: Learn about preprocessing, balancing, stratification, and dataset suitability for machine learning.

Code: Implement regular expression based sentence splitting for function completion.

Writing/Generation: The model can act as a chatbot to help improve scripts for TV and movies.

Writing/Generation: Prompts instruct the model to outline the plot of a movie and generate character ideas.

Code: Convert JavaScript to TypeScript.

Convert: Translate audio files

Write/Generate: Write social media style video ad scripts

Classification: Assigning positive or negative sentiment to text.

Answer the question: Answer the question using only the information provided in the source. Do not quote the source directly.

Writing/Generation: Produced content for a chapter in a college sport management textbook.

Write/Generate: Summarize reviews, understand the strengths and weaknesses of the business, and provide relevant recommendations.

Code: Explain the components of two SQL queries, compare the output, and evaluate efficiency.

Summarize: Summarize the video content and extract important dialogues.

Answer questions: Questions and answers about learning to swim.

Code: Convert C++ code to Java code while preserving functionality

Writing/Generation: Generate quizzes on vocabulary.

Writing/Generation: Users want the model to help novice travelers provide travel tips.

Summary: Use examples to create titles for your articles.

Code: Identify and explain modifiers in the code.

Writing/Generation: Helps improve the quality of presentations.

Writing/Generation: Helps transform documents into engaging presentations.

Categorize: This is a multi-purpose prompt for generating terms and definitions that are then placed into categories.